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        Massive data lifecycle management
        
            
        With the development of the Internet, the Internet has penetrated into all walks of life, whether it is traditional media such as newspapers, magazines, radio and TV, or emerging social media such as Weibo, post bar and wechat, the carrier of public ...
        
        
        
    
        
    
        
        
        
            
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                ??????We are experiencing a data explosion. Self-driving cars, augmented reality, machine vision, the Internet, and personal assistants are all rapidly becoming more powerful. What these features have in common is that they generate a lot of data. Ten years ago, the world generated 2 zettabytes (zettabytes) or 2x 1021 bytes of data. By 2025, the data volume will exceed 160 zettabytes or more.
        
All of this data brings benefits, but it also presents us with some challenges. First, data is proliferating. This means that the rate of growth continues to climb. This is a challenge because the infrastructure we have today is not nearly enough, and it will take many years to develop higher bandwidth solutions.
        
With the development of the Internet, the number of netizens in China has reached 751 million, and the Internet penetration rate is 54.3%, among which the number of mobile phone netizens is 724 million. The Internet has penetrated into all walks of life, whether it is traditional media such as newspapers, magazines, radio and television, or emerging social media such as Weibo, Tieba and wechat. There are more and more carriers of public opinion, and the speed of communication is getting faster and faster. The amount of data generated every day is explosive growth, and behind these massive data contains huge value, which can help enterprises timely grasp the market trends and user public opinion, quickly adjust the business, and improve operational efficiency.
            
        
        
        
    
        
    
    
    
        
                    
        
                
        
                    
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        Mass data generation and challenge
                            
        
                        
                    
        
                
        
            
        
                    
        
                
        
                                        
        
                        
                    
        
                
        
            
        
                    
        
                
        
                                        
        
                        
                    
        
                
        
            
        
                    
        
                
        
                                        
        
                        
                    
        
                
        
            
        
                    
        
                
        
                                        
        
                        
                    
        
                
        
            
        
                    
        
                
        
                    
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